Kimi K3

Decision Log — Product Launch Planning

Decisions Made

None. No launch date was agreed upon.

Open Items

#	Item	Stakeholder	Position	Status
1	Launch date	Sales	July launch preferred	Undecided
2	Launch date	Engineering	August is safer	Undecided
3	Budget	Finance	Needs budget by Friday	Pending

Conflicts / Unresolved

• Launch date tension: Sales (July) vs. Engineering (August). No compromise or resolution recorded.

Action Items

• Finance: Budget due Friday — owner TBD
• Launch date decision required — reconcile Sales and Engineering timelines

Deadline alert: budget due Friday (hard date)
Decision pending: launch date (July vs. August)

(82 words)

Evidence: employee self-report that they “work better at home”—perception data, not measured output.

Likely biases/confounds: selection (remote volunteers differ), self-report/social-desirability, recall, nonresponse/survivorship, role/seniority/home-office/childcare confounding, reverse causality (productive people allowed remote), vague “productivity,” and pandemic-era effects.

Stronger design: randomized or staggered remote eligibility within comparable roles; collect baseline and follow-up objective outcomes; use difference-in-differences, preregister metrics, and track quality, collaboration, burnout, promotion, and attrition.

# did: outcome ~ remote * post + employee & time fixed effects
import statsmodels.formula.api as smf
m = smf.ols("output ~ remote:post + C(emp) + C(week)", data=df).fit(
    cov_type="cluster", cov_kwds={"groups": df["emp"]})
print(m.params["remote:post"], m.bse["remote:post"])

Estimate intent-to-treat, then adjust for compliance; validate self-reports against logs and deliverables.

Tracing an unfamiliar app, route → DB writes:

1. Find the entry point. Check process list, Dockerfile, systemd unit, or web server config (nginx location blocks, Apache vhosts) to see what receives the request.

2. Map URL → handler. Search for route definitions: grep for the URL fragment (rg "orders/create"), route tables, or decorators (@route, @app.get, Route("...")). Middleware/rewrites may transform paths first.

3. Follow the handler's call chain. Note services, repositories, or models it calls. Use a debugger breakpoint or add logging if statically tracing is hard.

4. Find persistence. Look for DB connection setup (create_connection, new Sequelize, sql.Open), ORM models, migrations directory, or raw SQL (rg "INSERT|UPDATE" --type sql).

5. Confirm dynamically. Run the app locally, hit the route, and watch:

   • DB query log (e.g. general_log in MySQL, log_statement=all in Postgres)
   • strace -e trace=network -p <pid> or a proxy like mitmproxy

6. Record the write path: route → middleware → handler → service → ORM/SQL → tables/columns touched, plus transactions and side effects (queues, caches).

Common traps: proxies, message queues, stored procedures, and ORMs hiding SQL.